Assessing Efficiency in General Practice: An Application of Data Envelopment Analysis

1998 ◽  
Vol 11 (2) ◽  
pp. 103-108 ◽  
Author(s):  
J. M. Bates ◽  
D. L. Baines ◽  
D. K. Whynes
Keyword(s):  
Health Care ◽  
General Practice ◽  
Data Envelopment Analysis ◽  
Performance Indicators ◽  
Care Process ◽  
Considerable Importance ◽  
Data Envelopment ◽  
Number Of Patients ◽  
Efficiency Ranking ◽  
Using Data

As with any health care process, the efficiency with which outputs are produced in general practice is of considerable importance. Using data from Lincolnshire, this study utilizes data envelopment analysis to examine the relationships between practice costs and outputs, measured not only as the number of patients treated, but also on the basis of performance indicators. The technique permits the construction of an efficiency ranking, facilitating the accurate targeting of monitoring resources.

scholarly journals Eficiencia del gasto en salud en la OCDE y ALC: un análisis envolvente de datos

2019 ◽  
pp. 41-78
Author(s):  
Daysi Sanmartín-Durango ◽  
Maria Alejandra Henao-Bedoya ◽  
Yair Tadeo Valencia-Estupiñan ◽  
Jairo Humberto Restrepo-Zea
Keyword(s):  
Health Care ◽  
Data Envelopment Analysis ◽  
Relative Efficiency ◽  
Parametric Method ◽  
Mortality Rates ◽  
Data Envelopment ◽  
Total Expenditure ◽  
Average Efficiency ◽  
The Caribbean ◽  
Using Data

This paper measures the efficiency of expenditure in health care in 62 countries of Latin America and the Caribbean (LAC) and the Organization for Economic Co-operation and Development (OECD), based on the ratio between the level of total expenditure (as percent of GDP) and some health results (life expectancy and mortality rates in children under five years of age per every 1000 children born alive). For this purpose, the non-parametric method data envelopment analysis was applied using data from 1995, 2005 and 2014 for each group. The results allow identifying the relative efficiency and position of the set of countries analysed within both groups of countries. In 2014, the most efficient countries in LAC were Chile, Cuba, Dominican Republic, Venezuela and Jamaica, whilst in the OECD these were Japan, Luxembourg and Turkey. The average efficiency of LAC countries turns out to be below that of the OECD (0.938 and 0.974, respectively).

Performance management of OECD countries on Covid-19 pandemic: a criticism using data envelopment analysis models

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mustafa İsa Doğan ◽  
Volkan Soner Özsoy ◽  
H. Hasan Örkcü
Keyword(s):  
Data Envelopment Analysis ◽  
Performance Management ◽  
Oecd Countries ◽  
Data Envelopment ◽  
Discrimination Power ◽  
Content Type ◽  
Rate Of Spread ◽  
Number Of Patients ◽  
The World ◽  
Using Data

Purpose The Covid-19 pandemic spread rapidly around the world and required strict restriction plans and policies. In most countries around the world, the outbreak of the disease has been serious and has greatly affected the health system and the economy. The factors such as the number of patients with chronic diseases, the number of people over 65 years old, hospital facilities, the number of confirmed Covid-19 cases, the recovering Covid-19 cases and the number of deaths affect the rate of spread of Covid-19. This study aims to evaluate the performances of 21 Organisation for Economic Co-operation and Development (OECD) countries against the Covid-19 outbreak using three data envelopment analysis (DEA) models. Design/methodology/approach In this study, the performance of 21 OECD countries to manage the Covid-19 process has been analysed weekly via DEA which is widely used in various practical problems and provides a general framework for efficiency evaluation problems using the inputs and outputs of decision-making units. Findings The analysis showed that 11 countries out of 21 countries were efficient for selected weeks. According to the DEA results from the 20-week review (09 April 2020–20 August 2020), information about the course of the epidemic prevention and the normalization process for any country can be obtained. Originality/value In this study, due to the problem of the discrimination power of DEA, the cross-efficiency model and the super-efficiency model also used. In addition, the output-oriented model was preferred in this study for Covid-19 management efficiency.

scholarly journals Measuring efficiency of federally qualified health centers : a multi model approach using data envelopment analysis (DEA) and latent class analysis (LCA)

2021 ◽  
Author(s):  
◽  
Rohith Madhi Reddy
Keyword(s):  
Health Care ◽  
Data Envelopment Analysis ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Health Centers ◽  
Data Envelopment ◽  
Class Analysis ◽  
Federally Qualified Health Centers ◽  
Dea Model ◽  
Using Data

There are 1300 federally qualified health centers (FQHCs) in the United States providing the health care to underserved and uninsured population. These FQHCs serve the patients irrespective of their ability to pay. Using the resources effectively, these FQHCs can provide better health care. In this study of prenatal care, we measure the efficiencies of the FQHCs using data envelopment analysis (DEA). As in service industry, where quality is of at most importance, we used two different DEA approaches considering quality called the Two model DEA approach by (Shimshak, D., and Lenard, M.L.,2007) and Quality adjusted DEA approach by (Sherman, H.D., and Zhu, J, 2006). Efficient frontiers are determined by using these DEA approaches. There are differences that exists across FQHCs due to various factors to include demographic characteristics of patients visited the FQHCs, operational characteristics of health centers. Latent class analysis is performed before performing the DEA to classify the FQHCs into different classes based on the regional and population measures. Four different models namely aggregated Shimshak and Lenard and aggregated Sherman and Zhu models (DEA model is run on the whole sample), partitioned S and L and partitioned S and Z models (DEA model is run individually by class) have been used to determine the efficiencies of the FQHCs. Using the S and L approach, it is found that the FQHCs that formed the efficient frontier is of smaller FQHCs whereas the S and Z approach has a mix of small and large FQHCs. Based on the results determined, more insights are provided on the FQHCs and the models used in the analysis.

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